Pre-trained foundation models are making time-series forecasting more accessible and available, unlocking its benefits for ...

Retail sales forecasting has long been a cornerstone of operational success in the industry, guiding businesses in optimizing ...

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Solar forecasting across ... and allow for retrospective analysis, enabling historical irradiance data without requiring physical instruments in place at the time. Meteosat Third Generation ...

Australia will be looking to claim the series and Border-Gavaskar ... get underway at 10.30am local time, while you can catch all the pre-match coverage and analysis live on Fox Cricket from ...

One of the lesser-realized but very important elements of artificial intelligence is real-time adaptation and decision-making ...

As a year that was a rollercoaster comes to an end, there are two positive developments. First, Sri Lanka completed sovereign ...

Explore forecasting and anomaly detection techniques using statistical, machine learning, and deep learning algorithms Learn different techniques for evaluating, diagnosing, and optimizing your models ...

@inproceedings{jin2023time, title={{Time-LLM}: Time series forecasting by reprogramming large language models}, author={Jin, Ming and Wang, Shiyu and Ma, Lintao and Chu, Zhixuan and Zhang, James Y and ...

This research contributes to the growing body of work on deep learning for time series analysis and offers practical implications for improving demand forecasting in retail and supply chain management ...